The Kathryn Carson Lab investigates ways to improve medical research, particularly in the areas of brain and thyroid cancer, Alzheimer’s disease, atherosclerosis, hypertension, HIV and lupus. Our team seeks to help researchers optimize their studies through better study design, protocol and grant writing, data cleaning and analysis, and publication writing. We work with investigators from a wide range of departments through the Johns Hopkins Institute for Clinical and Translational Research.

Researchers in the Henry Michtalik Lab are interested in patient safety—particularly as it relates to patient census statistics and acute to primary care transitions—and quality improvement and systems management.

The Suchi Saria Lab, part of the Institute for Computational Medicine, explores topics within the fields of machine learning and computational statistics, with a focus on computational solutions for problems in health informatics. Our team investigates the applications of machine learning and computational statistics to domains where one has to draw inferences from observing a complex, real-world system evolve over time. We use Bayesian and probabilistic graphical modeling approaches to address the challenges that emerge with modeling and prediction in real-world temporal systems.